Job Information
Deloitte Data Engineer Consultant in Dallas, Texas
In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.
Work you'll do
This role will include:
Monitor and support updates to the legacy systems interface agreements, requirements, and designs until systems are retired.
Support the engineering analysis and requirements refinement of additional legacy system interfaces.
Profile data quality; provide feedback to client component representatives and system owners.
Support resolution of identified data errors with Stakeholders.
Issue and track Data Calls to source systems.
Monitor and assess Data Quality Improvement Process
Facilitate interaction between interface representatives and other contracts to ensure System Interface Agreements address the appropriate data for interfaces.
The team
Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.
Qualifications
Required:
• Bachelor's degree required
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Active Secret security clearance required
• 4 + years experience data engineering and data quality experience, ETL
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.